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Fitbit Charge 6 was deployed in 2024-2025 for ARIC NCS participants using smartphone setup, training, and ongoing technology support. Wear time was computed from heart-rate data. About one-third enrolled (n=309), contributing a median of 125 days; median wear time was 99%. Mann-Whitney U tests showed significant differences between Black and White groups.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/collecting-long-term-wearable-data-in-older-adults-atherosclerosis-risk-in-communities-neurocognitive-study/426550/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/collecting-long-term-wearable-data-in-older-adults-atherosclerosis-risk-in-communities-neurocognitive-study/426550.png","ImageObject",300,407,{"name":92,"@type":93},"Blitz","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-06","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why might traditional cohort studies introduce bias in older adults?","Question",{"text":112,"@type":113},"Periodic visits may capture data mainly when participants feel well, which can bias measurements. Wearables can reduce this limitation by enabling continuous data collection.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was Fitbit Charge 6 used and how was wear time calculated?",{"text":117,"@type":113},"Fitbit Charge 6 devices were provided to ARIC NCS participants with smartphone-based setup and training, plus ongoing technology support. Wear time was calculated as a percentage using heart-rate data.",{"name":119,"@type":110,"acceptedAnswer":120},"What did the study find about wearable wear time across groups?",{"text":121,"@type":113},"Among older adults aged 79-95, the median wear time was 99%. A Mann-Whitney U test found a significant difference between Black and White participants, indicating greater variability in wear time among Black adults.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},426550,1790835200,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":81},24464137899374,"https://us-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","1020 Innovation in Aging, 2025, Vol. 9, No. S2  \nAbstract citation ID: igaf122.3437  \nCOLLECTING LONG-TERM WEARABLE DATA IN  \nOLDER ADULTS: ATHEROSCLEROSIS RISK IN  \nCOMMUNITIES NEUROCOGNITIVE STUDY  \nErin Spaulding1, Jie Ding2, Henry Zhao2, Pamela Lutsey3,  \nB. Gwen Windham4, Katherine Ornstein1, Josef Coresh5, and Seth Martin2, 1. Johns Hopkins University, Baltimore, Maryland, United States, 2. Johns Hopkins University School of Medicine, Baltimore, Maryland, United States, 3. University of Minnesota, Minneapolis, Minnesota, United States,  \n4. University of Mississippi Medical Center-The MIND Center, Jackson, Mississippi, United States, 5. New York University, New York, New York, United States  \nTraditional cohort studies, relying on periodic visits, may introduce bias by capturing data largely when participants feel well. Wearables enable continuous data collection, potentially mitigating this bias, but low adoption among older adults could result in data gaps. Fitbit Charge 6 devices were used to collect long-term health data among Atherosclerosis Risk in Communities Neurocognitive Study (ARIC NCS) participants with a smartphone in 2024-2025. Staff provided Fitbit setup and training, encouraging daily wear and regular syncing, with ongoing technology support. Fitbit wear time, measured by heart rate data, was calculated as a percentage. Mann-Whitney U tests assessed differences in wear time by age, sex, and race.  \nApproximately one-third of eligible participants offered a Fitbit chose to enroll. A total of 309 ARIC NCS participants (84.0±3.2 years [36% ≥85 years], 60% women, 82% White, 45% ≤highschool/vocational sch∼ool) contributed a median of 125 (IQR: 148)  \ndays of Fitbit data ( 4.2 months). In this sample of older adults aged 79-95 years, the median wear time was 99%(IQR: 3%). AMann-Whitney U test revealed a significant difference (z=-4.08, p \u003C0.001) in median wear time between Black (98%, IQR: 10%) and White (99%, IQR 3%) older adults, indicating greater variability in wear time among Black adults. These findings suggest that with the proper onboarding and ongoing technology support, wearable devices can be used to collect long-term data among adults 80 years and older. Future research could examine potential reasons for greater wear time variability among Black adults, including digital literacy and sensor accuracy.","cbCaigVKc3hTLkaU","https://ap.wps.com/l/cbCaigVKc3hTLkaU","pdf",52421,"English","# Abstract\n## Study Design and Device Deployment\n## Data Processing and Statistics\n## Enrollment, Wear Time Results, and Interpretation","[{\"question\":\"Why might traditional cohort studies introduce bias in older adults?\",\"answer\":\"Periodic visits may capture data mainly when participants feel well, which can bias measurements. Wearables can reduce this limitation by enabling continuous data collection.\"},{\"question\":\"How was Fitbit Charge 6 used and how was wear time calculated?\",\"answer\":\"Fitbit Charge 6 devices were provided to ARIC NCS participants with smartphone-based setup and training, plus ongoing technology support. Wear time was calculated as a percentage using heart-rate data.\"},{\"question\":\"What did the study find about wearable wear time across groups?\",\"answer\":\"Among older adults aged 79-95, the median wear time was 99%. A Mann-Whitney U test found a significant difference between Black and White participants, indicating greater variability in wear time among Black adults.\"}]","Collecting Long-Term Wearable Data in Older Adults - Atherosclerosis Risk in Communities Neurocognitive Study | PDF",1790640882]